Deep Learning for Blood Testing / AI for Clinical Trial Matching.

This month we are featuring a survey of early stage startups working in various sectors of health and medicine.

"Athelas uses the novel approach of deep learning to automatically analyze blood cells in seconds. Our algorithms are trained to differentiate cell morphology and pick up on nucleation features.This automation technique lets us perform an array of blood tests on drop samples of blood accurately, rapidly, and for a fraction of existing costs."

"It takes 15 years before a cutting edge treatment can be prescribed to you by your doctor. This journey from a research lab to your doctor's office is longer than your cancer can wait. With Mendel, You share a list of your doctors, and we collect your records. We match your records with the world's largest knowledge-base of cancer trials. You contact and enroll in clinical trials with the click of a button."

Deepika Bodapati

Tanay Tandon

Tanay Tandon is a Machine Learning and NLP researcher. He studied mathematics and computer science at Stanford before leaving to start Athelas, a blood diagnostics startup, to make blood testing fast and inexpensive. Athelas was part of a 2014 Y Combinator hackathon and was accepted into Y Combinator in summer 2016.

Karim Galil

Karim is co-founder and CEO of Mendel.ai. He has received his MD and medical residency in Cairo, Egypt. Karim is also an entrepreneur by spirit, his first company Kryptonworx led health tech in the MENA region with customers like Pfizer and Ministry of Health in UAE. Karim has also helped many companies in the field of medical image processing like Sirona, Straumann and 3D Diagnostix. At Mendel, Karim continues to innovate AI-powered solutions to real-world healthcare challenges.

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